Literature DB >> 29398950

A set of tetra-nucleotide core motif SSR markers for efficient identification of potato (Solanum tuberosum) cultivars.

Masahiro Kishine1, Katsuji Tsutsumi2, Kazumi Kitta1.   

Abstract

Simple sequence repeat (SSR) is a popular tool for individual fingerprinting. The long-core motif (e.g. tetra-, penta-, and hexa-nucleotide) simple sequence repeats (SSRs) are preferred because they make it easier to separate and distinguish neighbor alleles. In the present study, a new set of 8 tetra-nucleotide SSRs in potato (Solanum tuberosum) is reported. By using these 8 markers, 72 out of 76 cultivars obtained from Japan and the United States were clearly discriminated, while two pairs, both of which arose from natural variation, showed identical profiles. The combined probability of identity between two random cultivars for the set of 8 SSR markers was estimated to be 1.10 × 10-8, confirming the usefulness of the proposed SSR markers for fingerprinting analyses of potato.

Entities:  

Keywords:  SSR markers; Solanum tuberosum; cultivar identification; potato

Year:  2017        PMID: 29398950      PMCID: PMC5790051          DOI: 10.1270/jsbbs.17066

Source DB:  PubMed          Journal:  Breed Sci        ISSN: 1344-7610            Impact factor:   2.086


Introduction

Potato (Solanum tuberosum) is the fourth-largest food crop in the world, following maize, wheat, and rice. More than 4,500 potato varieties are cultivated in over 100 countries (Pieterse and Judd 2014). As the number of known varieties increases, it becomes difficult to identify them by morphological markers. Thus, reliable methods of correctly identifying cultivars are strongly needed to assess the genetic diversity of the potato germplasm. SSR markers, or microsatellites, consist of tandemly repeated DNA sequences with a core unit of 1–6 base pairs (bp). They have many positive features useful for the genetic profiling of individuals, including abundance in plant genomes, multi-allelic co-dominant patterns, ease of use, and high variability in the number of core-motif repeats. In the long-core motif (e.g. tetra-, penta-, and hexa-nucleotide) SSRs, neighbor alleles are more easily separated from each other, while di-nucleotide SSRs are subject to a lower level of separation of neighbor alleles and a higher level of stuttering, which make the interpretation of electropherograms and the allele call less reliable (Cipriani ). Long nucleotide repeats are widely adopted for genetic profiling in humans and animals (Butler , Butler 2006, Hammond , Hellmann , Ruitberg ). Meanwhile, regarding plants, the use of long nucleotide repeats has been limited to the variety identification of a few crops: grape (Cipriani , 2010), Eucalyptus (Faria ), olive (De la Rosa ), peach (Dettori ), and tea (Wang ). In potato, SSRs have been used to study the genetic relationships and distances between wild and cultivated potato (Ghislain , 2009, Milbourne ). However, as with other crops, di- and tri-nucleotide SSRs have mainly been used, and few long-core motif SSRs have been reported (Ghislain , 2009, Milbourne ). In the present paper, we propose a new set of long-core motif SSR markers for potato with the aim of minimizing genotyping errors.

Materials and Methods

Plant materials and DNA extraction

Ten potato cultivars of in vitro cultures were obtained from the University of Idaho as representative cultivars in the United States. Potato tubers of Japanese cultivars were obtained from the Hokkaido Research Organization (HRO) Kitami Agricultural Experiment Station (9 cultivars), the Nagasaki Agricultural and Forestry Technical Development Center (8 cultivars), and the NARO Hokkaido Agricultural Research Center (49 cultivars) (Table 3). For each cultivar tested, DNA was extracted using the GM quicker 2 kit (Nippon Gene, Toyama, Japan) according to the supplier’s protocol.
Table 3

Profiling of 76 potato cultivars using 8 tetra-nucleotide SSR primers

CultivarSource4026/40278242120021641031924355844301646514
AinoakaNagasakiABCFBCDBEBDCFDABE
AiyutakaNagasakiABFABFBDBEBDCGAF
AlturasIdahoCBCCEDEKBDEBDFGAE
AstarteNAROBDBCFDDEABDBEDAE
AtlanticNAROBDGACDCDEFBKBDBCEDFGA
BeniakariNAROBGBFDFGBEKDECEFDAC
BenimaruNAROBDGABDCDFGEHIKABBECEAE
Cal whiteIdahoDGABCBCFCDKBEBFDE
Chelsea (Jenny)NAROBBCGACDDEFKBCDABEDAE
CherieNAROBDABCDCDDEGADBDFE
ClearwaterIdahoABBCFDKBEBDEG
CynthiaNAROABBFCDDEHKBDBCDABE
Dansyakuimo (Irish Cobber)NAROBABCFBCIKABBCDE
DejimaNagasakiABFABFBCDBEBBCNullAFG
DestroyerNAROBBDFCDAEJKCFABBCDFACE
Early StarchNAROBCFCDBEABDBEDACG
EniwaNAROGABFCDFDEKLBDEBCDACE
HanashibetsuHokkaidoBCDAFDFGBEBCDBEADAE
HarukaNAROBCBFBCDGBEGBDBCEFDEGAEF
HikaruNAROBCFGBDEFDEBEKABCEBCFDACEF
Hokkai 50NAROBBFCDFBCIKABBCDAE
Hokkai 98 (Inca Rouge)NAROBCGFEKFBDE
HokkaikoganeNAROBGABCDFEHABEBCDAC
HugenmaruNagasakiABFAFBCDBEABBGAE
Inca no hitomiNARODFGFGKFBDE
Inca no mezameNAROBCGFEKFBDE
Inca PurpleNAROBCGBCFCDFEKABBACACE
Inca RedNAROBBFDFEKACBCDABE
KitaakariNAROBFABFCDFBCEKBEBCDAEG
KitahimeNAROBCFCGEFGKBCEBEFDEE
KitamurasakiNAROBCGBCDBEKADEEFDACE
KitamusashiNAROFGBDFBDDEBDBEEACEF
KoganemaruNAROBFABCDBEKBDEABEDGACE
KonahubukiHokkaidoBGABDCDCEBDBDAG
KonayukiHokkaidoBGABCDFEHIKABECDAE
KonayutakaHokkaidoBDFABEDFGBEKBEBCDAE
MatildaNAROBDCDGDGBEICDABEDEG
May QueenNAROBDGCDFCFGBEGIBEBEEFABE
NishiyutakaNagasakiBBCFCDBEKBBENullAEG
Norin 1NAROBABCDFBEHKABBCEDAE
Norking RussetNAROBFBCBCDDEBCEBFNullAEG
Northern RubyNAROCGBCFCDCEKABDBFDEAE
Okhotsk ChipHokkaidoBGCDFBCFEKBEBEFDFAF
OojiroNAROBADDFBHIKABCEDE
PirukaNAROBFABCBCDBEKBDCECDGACE
PrevalentNAROCDCDGBDDEBCDABCEE
Ranger RussetIdahoBCFBDGDEKCDBCNullAE
Ranran ChipNAROBDFBCFBCDBEKBDBCFDGABE
Red AndesNAROBABGFBDFBDFBEDADE
Red MoonNAROBBDFCDAEJKCFABBCDFACE
Rira ChipHokkaidoBCGACFBCDBEKBEBCDGAE
Russet BannockIdahoABCBCFCFDKBDEBCDEG
Russet BurbankIdahoBBDGBCFGDGKBCBEFDEAE
Russet NorkotahIdahoBDBCDGCDFGBDKBCDBCDAEF
Saikai 31 (Dragon Red)NagasakiACEAFBCDBELBDBCFDABE
SakurahubukiNAROEGABCDCEKLBDBCDAEG
SanjumaruNagasakiACBDFBCBEBDDGAEF
Sanyenimo (Vermont Gold Coin)NAROBGABDGBCFBCGKBBENullAE
SayaakaneHokkaidoBDCFCDFEBCDBCEDAE
SayakaNAROBCBFCGBFGBDBEFDEAE
SetoyutakaNagasakiDFABFBDFBEHKABDBCECDAEF
Shadow QueenNAROCGBCFCDBEKABCDBEFDEAC
ShepodyIdahoABGCDFGBCDGBDGBEBENullABEG
ShigetsuNAROBFABFCDBEKABDBCDGACE
Snow MarchHokkaidoBDGABCFCDEBEKBBCEDGAE
SnowdenNAROBDBCFCDFBEKBBCDABEG
Star RubyNAROBDGBCFBCDFBDKBCEBFDACE
TawaramurasakiNAROBFACFBDFBEDABECAC
TokachikoganeNAROBFBFBCDBEKABDBCEDGACE
ToyaNAROBFACBDFBEKBDEBCEGA
ToyoshiroNAROBGABDCDFELBDEBCDAE
Umatilla RussetIdahoBGCGBCDKBDEBDCE
WaseshiroNAROFCDFCDGEKABEBECAE
Western RussetIdahoBDCFBDGDEKBDBDABCE
YukirasyaNAROBFBCFCEKDBDACE
YukitsuburaHokkaidoBCCCDFBDGDEBCEAE

Symbols of the peaks are described in Table 2. Null indicates a cultivar in which no peaks are obtained with the corresponding primer pair.

PCR and DNA fragment analysis

Fifty-six SSR markers with a tetra-nucleotide motif from Spud DB (Hirsch ) were initially selected. Using 4 Japanese and 4 US major cultivars, a preliminary test of PCR amplification was performed. After the screening, 8 markers were selected for efficient discrimination of cultivars. Octaplex PCR reactions were carried in a 5 μL reaction mixture with 2.5 ng genomic DNA, 0.1 U of KOD -Multi & Epi- (Toyobo, Osaka, Japan) and appropriate concentrations of the primer pairs shown in Table 1. The forward primers were labeled with any of 6-FAM, HEX, NED, and PET fluorescent dyes. The PCR reactions were carried out with the following thermal profile: one cycle at 94°C for 2 min followed by 30 cycles at 98°C for 10 sec, 63°C for 30 sec, and 68°C for 30 sec. Electrophoresis was performed in a Genetic Analyzer 310 (Thermo Fisher Scientific, Waltham, MA, USA). The PCR products were analyzed using GeneMapper v3.7 software (Thermo Fisher Scientific). For each locus, peaks were assigned letters in alphabetical order from the smallest to the largest (Table 2). The number of peaks and the number of profiles per marker were evaluated based on amplification of the 76 test cultivars. Discrimination power (DP) was calculated as DP = 1 − ∑P2 where P is the frequency of the ith profile.
Table 1

Eight tetra-nucleotide SSR primers selected for identification of potato cultivars

Marker ID*Chr.MotifForward (5′ to 3′)Reverse (5′ to 3′)Conc. (μM)peak range (bp)
4026/40271(CTAT)n(CTAG)nNED-AACTTGCGGGAATAAGTGACGACTATACACACGTGCCCTGAAACTAG0.09265–346
82422(CTTT)nFAM-CGTCTTGGATGTCTTAGTTGTGGGCAAAACCAGAAAGGCTAACAAAC0.08191–218
120023(ACAT)nNED-CCATGAACCTGAAGTTTTTCTGCTGGATATCTTGTGCCTACAAGCTAG0.10209–235
164104(ATAC)nFAM-GTATGTTTGAGTAAAATCCTCCACCA′TTCTCTGCCCCCTTTTAATTTG0.16258–354
319248(ATAC)nVIC-CGAAGACACCAAATCGCTCAGGAAACGCCATTAACATTTTACATCG0.07136–250
355849(GAAA)nVIC-AGTAAGTCAAACTCAACTCCAAGGTGGTTCTAGATTATCTCACTCATGCCTTTC0.0884–111
4301611(ATCC)nPET-CAAGCTGCATGAAAGCCATCTTTGCCTAAAAGTTTGTAGTGTGAGG0.07184–227
4651412(TATC)nPET-TGCTTTTTGTTTCCTTTTGTGTGGGAATGAAACTAAGCCTTGCTCTG0.12130–172

Marker IDs are the same as in Spud DB (http://solanaceae.plantbiology.msu.edu/pgsc_download.shtml).

Table 2

Characteristics of 8 tetra-nucleotide SSR primers

Marker IDNo. of peaksNo. of profilesDiscrimination powerAveraged peak size (bp)

ABCDEFGHIJKL
4026/40277270.912265.0307.4312.9319.7339.3343.0345.5
82427310.942190.6193.5194.5198.4206.3214.2218.2
120027280.920208.9212.9216.9217.8224.5230.7234.6
1641012360.927257.6266.9271.0279.0281.0310.3325.2335.5339.5346.3349.9353.6
319246220.918135.6213.5218.2222.2230.3249.9
355846170.87484.091.995.999.8103.7111.2
430167160.725184.3188.0192.0199.5203.5215.0226.9
465147180.869129.9131.2152.5156.9161.1165.1172.0

For each locus, peaks were assigned letters in alphabetical order from the smallest to the largest.

Results and Discussion

A total of 1,729 tetra-nucleotide SSRs were annotated by Spud DB (Hirsch ). Among them, 56 SSRs were selected based on a high number of repeats, and were tested according to the following criteria: (1) two or more peaks detected in a preliminary screening with 8 cultivars, (2) no null peak, (3) at most one marker in each chromosome to ensure independence of individual markers. As a result, 8 SSRs were further selected and an 8-plex PCR condition was designed (Table 1). Based on the analysis of the 76 test cultivars, the number of peaks ranged from 6 to 12 (average 7.4), and the number of profiles ranged from 16 to 36 (average 24.4). For each locus, the discrimination power (PD) ranged from 0.725 to 0.942, averaging 0.886 (Table 2). The probability of finding two random individuals with identical profiles at all 8 loci was an estimated 1.10 × 10−8, which provided enough discriminant power to identify the tested cultivars. Among all peaks, the differences of peak sizes between B and C of marker 8242, C and D of 12002, and A and B of 46514 were within two bases, suggesting that these small differences of peak sizes may have been caused by insertion or deletion of nucleotide except for difference of SSR motif replication. Because one base difference of peaks is sometimes difficult to discriminate in peak callings, we propose to use reference cultivars in a practical discrimination experiment or to consider results of other markers profile when these peaks are used in cultivar discrimination. The profiles of the 76 cultivars generated from the set of 8 SSR markers are shown in Table 3. By using 8 markers, 72 cultivars were distinguished from each other, except for two combinations of cultivars: the combination of “Red Moon” and “Destroyer”, and that of “Inca no mezame” and “Hokkai 98 (Inca Rouge)”. Both of the latter cultivars are known as skin color mutants derived from the former ones, suggesting that these two cultivar pairs respectively have the same genomic organization other than the corresponding gene for skin color. Cultivar identification of potato has been reported previously, and the markers described by Ghislain , 2009) have been used widely. Since these markers are mainly di- and tri-nucleotide SSRs, the lower separation of neighboring alleles and the relatively high level of stutter bands are inevitable. In fact, Reid reported that one allele of STM3023 (di-nucleotide SSRs) is located at the stutter position for the other allele, resulting in a complication of the allele call. Additionally, simplex PCR and the various annealing temperatures of the primers are time-consuming and labor-intensive. The set of tetra-nucleotide SSRs described here has no or extremely little stuttering, resulting in good reproducibility and reliability of allele calling. The 8-plex PCR conditions designed in this study allow simple and rapid analysis of cultivars. These markers will be helpful for the rapid identification of potato cultivars, and consequently for protecting plant breeders’ rights.
  11 in total

1.  STRBase: a short tandem repeat DNA database for the human identity testing community.

Authors:  C M Ruitberg; D J Reeder; J M Butler
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

Review 2.  Forensic DNA typing by capillary electrophoresis using the ABI Prism 310 and 3100 genetic analyzers for STR analysis.

Authors:  John M Butler; Eric Buel; Federica Crivellente; Bruce R McCord
Journal:  Electrophoresis       Date:  2004-06       Impact factor: 3.535

3.  The SSR-based molecular profile of 1005 grapevine (Vitis vinifera L.) accessions uncovers new synonymy and parentages, and reveals a large admixture amongst varieties of different geographic origin.

Authors:  Guido Cipriani; Alessandro Spadotto; Irena Jurman; Gabriele Di Gaspero; Manna Crespan; Stefano Meneghetti; Enrica Frare; Rita Vignani; Mauro Cresti; Michele Morgante; Mario Pezzotti; Enrico Pe; Alberto Policriti; Raffaele Testolin
Journal:  Theor Appl Genet       Date:  2010-08-06       Impact factor: 5.699

4.  A proposal for standardization in forensic canine DNA typing: allele nomenclature of six canine-specific STR loci.

Authors:  Andreas P Hellmann; Udo Rohleder; Cordula Eichmann; Ina Pfeiffer; Walther Parson; Uwe Schleenbecker
Journal:  J Forensic Sci       Date:  2006-03       Impact factor: 1.832

5.  Evaluation of 13 short tandem repeat loci for use in personal identification applications.

Authors:  H A Hammond; L Jin; Y Zhong; C T Caskey; R Chakraborty
Journal:  Am J Hum Genet       Date:  1994-07       Impact factor: 11.025

6.  Isolation, characterisation and mapping of simple sequence repeat loci in potato.

Authors:  D Milbourne; R C Meyer; A J Collins; L D Ramsay; C Gebhardt; R Waugh
Journal:  Mol Gen Genet       Date:  1998-08

7.  Selection of highly informative and user-friendly microsatellites (SSRs) for genotyping of cultivated potato.

Authors:  M Ghislain; D M Spooner; F Rodríguez; F Villamón; J Núñez; C Vásquez; R Waugh; M Bonierbale
Journal:  Theor Appl Genet       Date:  2003-11-27       Impact factor: 5.699

8.  Mining microsatellites in the peach genome: development of new long-core SSR markers for genetic analyses in five Prunus species.

Authors:  Maria Teresa Dettori; Sabrina Micali; Jessica Giovinazzi; Simone Scalabrin; Ignazio Verde; Guido Cipriani
Journal:  Springerplus       Date:  2015-07-10

9.  A set of microsatellite markers with long core repeat optimized for grape (Vitis spp.) genotyping.

Authors:  Guido Cipriani; Maria Teresa Marrazzo; Gabriele Di Gaspero; Antonella Pfeiffer; Michele Morgante; Raffaele Testolin
Journal:  BMC Plant Biol       Date:  2008-12-16       Impact factor: 4.215

10.  An efficient identification strategy of clonal tea cultivars using long-core motif SSR markers.

Authors:  Rang Jian Wang; Xiang Feng Gao; Xiang Rui Kong; Jun Yang
Journal:  Springerplus       Date:  2016-07-22
View more
  3 in total

1.  Genetically Independent Tetranucleotide to Hexanucleotide Core Motif SSR Markers for Identifying Lentinula edodes Cultivars.

Authors:  Teruaki Saito; Genki Sakuta; Hitoshi Kobayashi; Kenji Ouchi; Satoshi Inatomi
Journal:  Mycobiology       Date:  2019-10-03       Impact factor: 1.858

2.  Phenotypic variability and genetic diversity analysis of cultivated potatoes in China.

Authors:  Jun Hu; Meng Mei; Fang Jin; Jianfei Xu; Shaoguang Duan; Chunsong Bian; Guangcun Li; Xiyao Wang; Liping Jin
Journal:  Front Plant Sci       Date:  2022-09-23       Impact factor: 6.627

3.  New EST-SSR Markers for Individual Genotyping of Opium Poppy Cultivars (Papaver somniferum L.).

Authors:  Jakub Vašek; Daniela Čílová; Martina Melounová; Pavel Svoboda; Pavel Vejl; Radka Štikarová; Luboš Vostrý; Perla Kuchtová; Jaroslava Ovesná
Journal:  Plants (Basel)       Date:  2019-12-19
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.